Vegetation-specific model parameters are not required for estimating gross primary production
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43410%2F14%3A00229827" target="_blank" >RIV/62156489:43410/14:00229827 - isvavai.cz</a>
Alternative codes found
RIV/67179843:_____/14:00432456
Result on the web
<a href="http://dx.doi.org/10.1016/j.ecolmodel.2014.08.017" target="_blank" >http://dx.doi.org/10.1016/j.ecolmodel.2014.08.017</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ecolmodel.2014.08.017" target="_blank" >10.1016/j.ecolmodel.2014.08.017</a>
Alternative languages
Result language
angličtina
Original language name
Vegetation-specific model parameters are not required for estimating gross primary production
Original language description
Models of gross primary production (GPP) based on remote sensing measurements are currently parameterized with vegetation-specific parameter sets and therefore require accurate information on the distribution of vegetation to drive them. Can this parameterization scheme be replaced with a vegetation-invariant set of parameters that can maintain or increase model applicability by reducing errors introduced from the uncertainty of land cover classification? Based on the measurements of ecosystem carbon fluxes from 168 globally distributed sites in a range of vegetation types, we examined the predictive capacity of seven light use efficiency (LUE) models. Two model experiments were conducted: (i) a constant set of parameters for various vegetation types and (ii) vegetation-specific parameters. The results showed no significant differences in model performance in simulating GPP while using both set of parameters. These results indicate that a universal of set of parameters, which is indepe
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
EH - Ecology - communities
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Ecological Modelling
ISSN
0304-3800
e-ISSN
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Volume of the periodical
292
Issue of the periodical within the volume
24 November 2014
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
10
Pages from-to
1-10
UT code for WoS article
343845400001
EID of the result in the Scopus database
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